标题:Evaluation of MODIS Gross Primary Production across Multiple Biomes in ChinaUsing Eddy Covariance Flux Data作者:Zhu, Hongji; Lin, Aiwen; Wang, Lunche; Xia, Yu; Zou, Ling
来源出版物:REMOTE SENSING卷:8 期:5 文献编号:395 DOI:10.3390/rs8050395 出版年:MAY 2016
入藏号:WOS:000378406400039
摘要:MOD17A2 provides near real-time estimates of gross primary production (GPP) globally. In this study, MOD17A2 GPP was evaluated using eddy covariance (EC) flux measurements at eight sites in five various biome types acrossChina. The sensitivity of MOD17A2 to meteorological data and leaf area index/fractional photosynthetically active radiation (LAI/FPAR) products were examined by introducing site meteorological measurements and improved Global Land Surface Satellite (GLASS) LAI products. We also assessed the potential error contributions from land cover and maximum light use efficiency (epsilon(max)). The results showed that MOD17A2 agreed well with flux measurements of annual GPP (R-2 = 0.76) when all biome types were considered as a whole. However, MOD17A2 was ineffective for estimating annual GPP at mixed forests, evergreen needleleaf forests and croplands, respectively. Moreover, MOD17A2 underestimated flux derived GPP during the summer (R-2 = 0.46). It was found that the meteorological data used in MOD17A2 failed to properly estimate the site measured vapor pressure deficits (VPD) (R-2 = 0.31). Replacing the existing LAI/FPAR data with GLASS LAI products reduced MOD17A2 GPP uncertainties. Though land cover presented the fewest errors, epsilon(max) prescribed in MOD17A2 were much lower than inferred epsilon(max) calculated from flux data. Thus, the qualities of meteorological data and LAI/FPAR products need to be improved, and epsilon(max) should be adjusted to provide better GPP estimates using MOD17A2 for Chinese ecosystems.
文献类型:Article
语种:English
作者关键词:MODIS, gross primary production (GPP), validation, eddy covariance,China
扩展关键词:ENHANCED VEGETATION INDEX; PRIMARY PRODUCTION GPP; NET PRIMARY PRODUCTION; USE EFFICIENCY MODEL; TERRESTRIAL ECOSYSTEMS; CARBON FLUXES; FOREST; ALGORITHM; RADIATION; PATTERNS
通讯作者地址:Lin, AW (reprint author), Wuhan Univ, Sch Resource & Environm Sci,Wuhan430079, Peoples R China.
Wang, LC (reprint author), China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut,Wuhan430074, Peoples R China.
电子邮件地址:zhuhongji@whu.edu.cn; awlin@whu.edu.cn; wang@cug.edu.cn; xysw@whu.edu.cn; cheryl_zou@whu.edu.cn
地址:
[Zhu, Hongji; Lin, Aiwen; Xia, Yu; Zou, Ling]WuhanUniv, Sch Resource & Environm Sci,Wuhan430079, Peoples RChina.
[Wang, Lunche]ChinaUniv Geosci, Sch Earth Sci, Lab Crit Zone Evolut,Wuhan430074, Peoples RChina.
研究方向:Remote Sensing
ISSN:2072-4292
IF:3.036
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